This research was conducted by Daniel Vlantis in collaboration with AI Team, Urban Innovation and R&D, City of Amsterdam.
Involved civil servants: Iva Gornishka
Supervisors: Shuai Wang & Iva Gornishka
Automatic Text Simplification for Low-Resource Domains
Poster by Daniel Vlantis
The Municipality of Amsterdam is responsible for communicating in simple language to all its citizens. Unfortunately, automatically aiding editors in their writing process relies on models requiring substantial training data. Unfortunately, simplification data is not readily available for Dutch, let alone for the specific domain of governmental communication and underlying topics such as taxes, health, environment, etc.
This poster presents Daniel Vlantis' research on reproducing an existing low-resource solution from the medical domain and adapting it to general municipal communication.